Our clients

We serve clients in Seattle and the Pacific Northwest. Below are a sample of our projects.


Unlocking value from data

Knack enables people to send infinitely customizable gift sets to friends, family, and clients. The company knew they were sitting on a wealth of value in their data on what people send as gifts and what occasions they shop for. Nolis, LLC was brought on to realize that value, and help create a strategy for using it to improve the customer experience.


Customer-facing AI

We are helping introduce AI to T-Mobile. Through a partnership with the Social & Messaging Product Development team, we are working to demonstrate AI use cases to assist customer service representatives and alleviate pain points when customers message T-Mobile's call centers. With our help, T-Mobile was able to put the first real-time, scalable, customer-facing machine learning model into their production environment.


Data science pipeline

Nolis, LLC is helping FoodCorps convert the reports from schools throughout the country and begin efficiently analyzing this data. By relying on modern techniques and the programming language R, the results can get from these reports to the stakeholders faster and more accurately. This empowers the company to make informed decisions in a timely fashion.

The Stranger

Reader survey analysis

When the Stranger launched a survey on its reader's sexual habits, desires, experiences, and preferences, we were delighted to explore this data with cutting-edge data science techniques. We performed an analysis of the data and authored an article detailing a handful of hilarious discoveries.

Mathematical Association of America

Educating professors

The Mathematical Association of America recognizes both the need for math students in industry and the lack of knowledge on what jobs are actually like. Nolis, LLC is helping the MAA train professors to prepare students for the working world with programs like PIC Math.

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About us

We are a Seattle-based consulting firm specializing in data science, machine learning, and artificial intelligence.

Contact info

Seattle, WA